Christoph von Holst

The determination of urea in pet feed at contaminant levels using the spectrophotometric method described in Commission Regulation (EC) No 152/2009 has been reported by several EU laboratories to lack the required selectivity. Whilst urea is not authorised as an additive in pet feed, the control of urea in pet feed is of economic importance, because the addition of urea may unlawfully increase the apparent protein content. To investigate the capabilities of different analytical techniques, a proficiency test was organised where the participants (EU official control laboratories, laboratories from the academia and private laboratories) were free to use their method of choice for analysing three dog feed test materials, two samples of which were spiked with urea. Twenty-one laboratories submitted results using the following techniques: spectrophotometry (Implementing Regulation (EC) No 152/2009), LC-MS/MS, HPLC-UV, enzymatic-colorimetry, gravimetry and an 'in-house photometric' method. Only two laboratories that used LC-MS/MS were able to quantify urea accurately in the test material containing a mass fraction of 18.9 mg kg-1 whereas satisfactory results at the level of 258.9 mg kg-1 were obtained by one participant that used an 'in-house photometric method' and one that used the enzymatic method, in addition to the five participants using LC-MS/MS. The technique that provided the highest success rate across the three test materials was LC-MS/MS, whereas spectrophotometry, the enzymatic-based and HPLC-UV methods led to overestimated results in addition to a dispersion of results not suitable for compliance analysis. To address the determination of urea in pet feed at low levels, a better performing method than the one described in the legislation is required.

The present work reports on the design, execution and evaluation of results of an interlaboratory validation study aimed at verifying the fitness-for-purpose of a LC-MS/MS method for the detection of polar pesticides in food of animal origin in official control and monitoring programmes. To this scope, five participant laboratories, with relevant expertise, were recruited. After passing a pre-trial test, the participants were asked to analyse test samples of bovine fat, chicken eggs and cow's milk, contaminated with 11 polar pesticides (group A: Aminomethyl phosphonic acid (AMPA), cyanuric acid, ethephon, glyphosate, fosetyl aluminium, 2-hydroxyethyphosphonic acid (HEPA), maleic hydrazide, N-acetyl-glyphosate, group B: N-acetyl glufosinate (NAG), 3-methylphosphinicopropionic acid (MPP) and glufosinate ammonium) at two different levels (0.05 and 0.25 mg/kg^-1 and 0.01 and 0.05 mg/kg^-1 for group A and B respectively. The method was based on acidified methanol/water extraction followed by dSPE clean up with C18 sorbent. For LC-MS/MS analysis isotopically labelled standards were used for all targeted analytes. With a couple of exceptions, average recoveries ranged from 85% to 110%, with repeatability (RSDr) ranging from 3% to 25%, and reproducibility (RSD_R) from 4% to 26%. The assessment by different laboratories provided also insights on key factors impacting method performance characteristics and its implementation by new users.

In this study, direct analysis in real time high resolution mass spectrometry (DART-HRMS) was used to investigate the accurate characterisation of feed additive formulations containing coccidiostats or carotenoids. The study demonstrates the efficacy of DART-HRMS in identifying the active substances in these formulations and distinguishing between feed additives with the same active substance. The protocol for this method involves two simple steps that are extracting samples with organic solvents and measuring the extracts with DART-HRMS. The study also employs various statistical tools, including a factorial design approach, to optimise the DART-HRMS settings, and multivariate statistics, to establish classification models for feed additive formulations using nominal mass spectra. Our study demonstrates the potential of DART-HRMS in ensuring the correct identification of feed additives containing various coccidiostats or carotenoids and proposes this tool as an additional means for compliance checks with EU regulations.

Feed additives require pre-market authorisation prior to their use in the EU. For the group of coccidiostats, the EU regulations authorising these products include specifications for these substances and the major components of the feed additive formulations. Feed business operators can use only feed additives that meet these criteria. The traceability of these products is supported by the allocation of specific identification numbers that need to be printed on the feed additive label along with other information. In the present study, Direct Analysis in Real Time mass spectrometry (DART-MS) was applied to investigate the correct characterisation of feed additives that contain coccidiostats as active substances. The results of the study demonstrated that this technique allows an unequivocal identification of the active substances in the feed additive formulations when combining DART with high-resolution mass spectrometry. In addition, two feed additives containing the same coccidiostat, but different excipients could be correctly classified according to their composition. The method protocol is very simple and comprises two steps, namely the extraction of the feed additives with an organic solvent and the subsequent measurement with DART-MS. For the evaluation of the MS spectra, chemometrics was applied offering an effective method for classification. Chemometric models were established with nominal masses obtained from the analysis of the samples, thus showing that these feed additives could be correctly classified even using low-resolution mass spectrometry. Moreover, we demonstrated that molecule-specific stable isotope patterns obtained with low-resolution mass spectrometry could be used as an alternative tool for the confirmation of the active substance.

The performance characteristics of a multi-analyte method for the determination of all 10 carotenoids authorised as feed additives within the EU were assessed via an interlaboratory study. The analytical method is based on reversed phase high performance liquid chromatography (RP-HPLC) coupled to an optical detector set at 410 nm. The analysis is particularly challenging due to the presence of various stereoisomers of each carotenoid, and the use of these compounds via natural or synthetic formulations, requiring a special sample preparation. EU regulations specifying the conditions of use set legal limits for these substances in compound feedingstuffs ranging from 6 mg kg⁻¹ to 138 mg kg⁻¹, depending on the individual carotenoid and the target animal for which the feed is supplemented with this carotenoid. The purpose of the multi-analyte method validated in this paper is to facilitate the monitoring of carotenoids at relevant levels when used as feed additives in compound feedingstuffs and pre-mixtures. The interlaboratory study delivered precision data for 43 different analyte/mass fraction/matrix combinations, covering a mass fraction range of the target analytes from 2.6 mg kg⁻¹ to 3861 mg kg⁻¹. The relative standard deviations for repeatability (RSD_r) varied from 2.2 to 16.2 % with a mean value of 6 %, while the relative standard deviations for reproducibility (RSD_R) varied from 6.8 to 39 % with a mean value of 21 %. Given the broad scope of the method covering 10 carotenoids added to compound feedingstuffs and pre-mixtures via different formulations, this multi-analyte method is considered fit for the intended purpose.

Aflatoxin B₁ (AFB₁) is a secondary metabolite produced by some Aspergillus spp. fungi affecting many crops and feed materials. Aflatoxin M₁ (AFM₁), the 4-hydroxylated metabolite of AFB_1, is the main AFB₁-related compound present in milk, and it is categorized by the International Agency for Research on Cancer (IARC) as a “group 1 human carcinogen”. The aim of this work was to evaluate and compare the analytical performances of two commercial immunoassays widely applied for the detection of AFM₁ in milk, namely strip test immunoassay and enzyme linked immunosorbent assay (ELISA). Assay validation included samples at AFM₁ levels of 25, 50, 75 ng/kg and blank samples (AFM₁ < 0.5 ng/kg). With respect to a screening target concentration (STC) of 50 ng/kg the two assays showed cut-off values of 37.7 ng/kg and 47.5 ng/kg for strip test and ELISA, respectively, a false suspect rate for blanks 1 at levels higher than STC, of 0.4% (for both assays). The intermediate precision (RSD_ip) was 1 at levels within “not detected” (< 0.5 ng/kg) and 50 ng/kg. Finally, the extension of the scope of the strip test method to goat and sheep milk was evaluated by applying the experimental design foreseen in the EU regulation.